{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# HFDataView\n",
    "\n",
    "## 介绍\n",
    "HFDataview 是针对高频因子(bar级别)和事件设计的数据操作和信号计算模块，功能和Dataview一致\n",
    "\n",
    "## HFDataView与DataView的区别\n",
    "\n",
    "- 1.HFDataView使用分钟数据而不是日度、季度数据\n",
    "- 2.支持传入一个multiindex的数据 用来初始化dv。要求:trade_date、symbol为index， fields为columns. 其中,trade_date要为整数类型\n",
    "- 3.支持设置读取数据的时间索引格式（整数型 日期型）\n",
    "\n",
    "## TODO LIST\n",
    "- 1.分钟数据直接下载\n",
    "- 2.多频率数据的自动对齐\n",
    "\n",
    "## 使用案例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from jaqs_fxdayu.data import RemoteDataService"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data_config = {\n",
    "    \"remote.data.address\": \"tcp://data.tushare.org:8910\",\n",
    "    \"remote.data.username\": \"18566262672\",\n",
    "    \"remote.data.password\": \"eyJhbGciOiJIUzI1NiJ9.eyJjcmVhdGVfdGltZSI6IjE1MTI3MDI3NTAyMTIiLCJpc3MiOiJhdXRoMCIsImlkIjoiMTg1NjYyNjI2NzIifQ.O_-yR0zYagrLRvPbggnru1Rapk4kiyAzcwYt2a3vlpM\",\n",
    "    \"timeout\":360    \n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Begin: DataApi login 18566262672@tcp://data.tushare.org:8910\n",
      "    login success \n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'0,'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = RemoteDataService()\n",
    "ds.init_from_config(data_config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df,msg = ds.bar(\"000001.SZ,000002.SZ\", trade_date =20180605,  freq=\"1M\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "   close    code      date freq   high    low  oi   open  settle     symbol  \\\n",
       "0  10.26  000001  20180605   1M  10.29  10.25 NaN  10.29     NaN  000001.SZ   \n",
       "1  10.26  000001  20180605   1M  10.26  10.25 NaN  10.25     NaN  000001.SZ   \n",
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       "4  10.23  000001  20180605   1M  10.24  10.23 NaN  10.24     NaN  000001.SZ   \n",
       "\n",
       "    time  trade_date   turnover    volume       vwap  \n",
       "0  93100    20180605  4337203.0  422300.0  10.270431  \n",
       "1  93200    20180605  4376199.0  426872.0  10.251783  \n",
       "2  93300    20180605  4369881.0  426828.0  10.238037  \n",
       "3  93400    20180605  6379272.0  623700.0  10.228110  \n",
       "4  93500    20180605  2555450.0  249700.0  10.234081  "
      ]
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     "execution_count": 5,
     "metadata": {},
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    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "   close    code      date freq   high    low  oi   open  settle     symbol  \\\n",
       "0  10.26  000001  20180605   1M  10.29  10.25 NaN  10.29     NaN  000001.SZ   \n",
       "1  10.26  000001  20180605   1M  10.26  10.25 NaN  10.25     NaN  000001.SZ   \n",
       "2  10.23  000001  20180605   1M  10.26  10.23 NaN  10.26     NaN  000001.SZ   \n",
       "3  10.23  000001  20180605   1M  10.24  10.22 NaN  10.23     NaN  000001.SZ   \n",
       "4  10.23  000001  20180605   1M  10.24  10.23 NaN  10.24     NaN  000001.SZ   \n",
       "\n",
       "    time      trade_date   turnover    volume       vwap  \n",
       "0  93100  20180605093100  4337203.0  422300.0  10.270431  \n",
       "1  93200  20180605093200  4376199.0  426872.0  10.251783  \n",
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       "3  93400  20180605093400  6379272.0  623700.0  10.228110  \n",
       "4  93500  20180605093500  2555450.0  249700.0  10.234081  "
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     "execution_count": 6,
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    }
   ],
   "source": [
    "# 构造trade_date -- 时间索引 整数类型\n",
    "df[\"trade_date\"] = df[\"trade_date\"]*1000000+df[\"time\"]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "                          close    code      date freq   high    low  oi  \\\n",
       "trade_date     symbol                                                      \n",
       "20180605093100 000001.SZ  10.26  000001  20180605   1M  10.29  10.25 NaN   \n",
       "20180605093200 000001.SZ  10.26  000001  20180605   1M  10.26  10.25 NaN   \n",
       "20180605093300 000001.SZ  10.23  000001  20180605   1M  10.26  10.23 NaN   \n",
       "20180605093400 000001.SZ  10.23  000001  20180605   1M  10.24  10.22 NaN   \n",
       "20180605093500 000001.SZ  10.23  000001  20180605   1M  10.24  10.23 NaN   \n",
       "\n",
       "                           open  settle   time   turnover    volume       vwap  \n",
       "trade_date     symbol                                                           \n",
       "20180605093100 000001.SZ  10.29     NaN  93100  4337203.0  422300.0  10.270431  \n",
       "20180605093200 000001.SZ  10.25     NaN  93200  4376199.0  426872.0  10.251783  \n",
       "20180605093300 000001.SZ  10.26     NaN  93300  4369881.0  426828.0  10.238037  \n",
       "20180605093400 000001.SZ  10.23     NaN  93400  6379272.0  623700.0  10.228110  \n",
       "20180605093500 000001.SZ  10.24     NaN  93500  2555450.0  249700.0  10.234081  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.set_index([\"trade_date\",\"symbol\"])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialize dataview success.\n"
     ]
    }
   ],
   "source": [
    "# 初始化dv\n",
    "from jaqs_fxdayu.data import HFDataView\n",
    "dv = HFDataView()\n",
    "dv.create_init_dv(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['close',\n",
       " 'code',\n",
       " 'date',\n",
       " 'freq',\n",
       " 'high',\n",
       " 'low',\n",
       " 'oi',\n",
       " 'open',\n",
       " 'settle',\n",
       " 'time',\n",
       " 'turnover',\n",
       " 'volume',\n",
       " 'vwap']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dv.fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['000001.SZ', '000002.SZ']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dv.symbol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20180605093100"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dv.start_date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20180605150000"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dv.end_date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>symbol</th>\n",
       "      <th>000001.SZ</th>\n",
       "      <th>000002.SZ</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trade_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20180605093100</th>\n",
       "      <td>10.26</td>\n",
       "      <td>27.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20180605093200</th>\n",
       "      <td>10.26</td>\n",
       "      <td>27.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20180605093300</th>\n",
       "      <td>10.23</td>\n",
       "      <td>27.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20180605093400</th>\n",
       "      <td>10.23</td>\n",
       "      <td>27.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20180605093500</th>\n",
       "      <td>10.23</td>\n",
       "      <td>27.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "symbol          000001.SZ  000002.SZ\n",
       "trade_date                          \n",
       "20180605093100      10.26      27.12\n",
       "20180605093200      10.26      27.13\n",
       "20180605093300      10.23      27.18\n",
       "20180605093400      10.23      27.19\n",
       "20180605093500      10.23      27.15"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 取数据 索引为整型\n",
    "dv.get_ts(\"close\").head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>symbol</th>\n",
       "      <th>000001.SZ</th>\n",
       "      <th>000002.SZ</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trade_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-06-05 09:31:00</th>\n",
       "      <td>10.26</td>\n",
       "      <td>27.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-05 09:32:00</th>\n",
       "      <td>10.26</td>\n",
       "      <td>27.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-05 09:33:00</th>\n",
       "      <td>10.23</td>\n",
       "      <td>27.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-05 09:34:00</th>\n",
       "      <td>10.23</td>\n",
       "      <td>27.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-05 09:35:00</th>\n",
       "      <td>10.23</td>\n",
       "      <td>27.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "symbol               000001.SZ  000002.SZ\n",
       "trade_date                               \n",
       "2018-06-05 09:31:00      10.26      27.12\n",
       "2018-06-05 09:32:00      10.26      27.13\n",
       "2018-06-05 09:33:00      10.23      27.18\n",
       "2018-06-05 09:34:00      10.23      27.19\n",
       "2018-06-05 09:35:00      10.23      27.15"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 取数据 索引为日期型\n",
    "dv.get_ts(\"close\",date_type=\"datetime\").head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Field [momentum] is overwritten.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>symbol</th>\n",
       "      <th>000001.SZ</th>\n",
       "      <th>000002.SZ</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trade_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20180605093100</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20180605093200</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20180605093300</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20180605093400</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20180605093500</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "symbol          000001.SZ  000002.SZ\n",
       "trade_date                          \n",
       "20180605093100        NaN        NaN\n",
       "20180605093200        NaN        NaN\n",
       "20180605093300        NaN        NaN\n",
       "20180605093400        NaN        NaN\n",
       "20180605093500        NaN        NaN"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dv.add_formula(field_name=\"momentum\",formula=\"Return(close,20)\",add_data=True,overwrite=True).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>field</th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>momentum</th>\n",
       "      <th>open</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>trade_date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-06-05 09:31:00</th>\n",
       "      <td>10.26</td>\n",
       "      <td>10.29</td>\n",
       "      <td>10.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-05 09:32:00</th>\n",
       "      <td>10.26</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-05 09:33:00</th>\n",
       "      <td>10.23</td>\n",
       "      <td>10.26</td>\n",
       "      <td>10.23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-05 09:34:00</th>\n",
       "      <td>10.23</td>\n",
       "      <td>10.24</td>\n",
       "      <td>10.22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-05 09:35:00</th>\n",
       "      <td>10.23</td>\n",
       "      <td>10.24</td>\n",
       "      <td>10.23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "field                close   high    low  momentum   open\n",
       "trade_date                                               \n",
       "2018-06-05 09:31:00  10.26  10.29  10.25       NaN  10.29\n",
       "2018-06-05 09:32:00  10.26  10.26  10.25       NaN  10.25\n",
       "2018-06-05 09:33:00  10.23  10.26  10.23       NaN  10.26\n",
       "2018-06-05 09:34:00  10.23  10.24  10.22       NaN  10.23\n",
       "2018-06-05 09:35:00  10.23  10.24  10.23       NaN  10.24"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = dv.get_symbol(\"000001.SZ\",fields=\"momentum,open,high,low,close\",date_type=\"datetime\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Loe311iUy8LOfgumrVt4vaJv9fvjNcPCFZl19jtnwyYR+jU+f/ir5q/6Vv/zm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\nG2iBjqbDO175Jp751F9zxbvIK77l6zhxxua9/z1mwd67S/kPvvIHeeO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HVMsW+qokHEq6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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "data.plot(kind=\"line\",figsize=(12,10),secondary_y=[\"momentum\"])\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
